Justin Cui - RankMe

25 papers A* 5Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LoL: Longer than Longer, Scaling Video Generation to Hour. CoRR Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh
2026	J	`jnl`	Reward-Forcing: Autoregressive Video Generation with Reward Feedback. CoRR Jingran Zhang, Ning Li, Yuanhao Ban, Andrew Bai, Justin Cui
2025	J	`jnl`	A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation. CoRR Qianfeng Wen, Yifan Liu, Justin Cui, Joshua Zhang, Anton Korikov, George-Kirollos Saad, Scott Sanner
2025	J	`jnl`	ArxivBench: Can LLMs Assist Researchers in Conducting Research? CoRR Ning Li, Jingran Zhang, Justin Cui
2025	J	`jnl`	Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games. CoRR Jingran Zhang, Ning Li, Justin Cui
2025	J	`jnl`	Concepts or Skills? Rethinking Instruction Selection for Multi-modal Models. CoRR Andrew Bai, Justin Cui, Ruochen Wang, Cho-Jui Hsieh
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	J	`jnl`	Data-Efficient Ensemble Weather Forecasting with Diffusion Models. CoRR Kevin Valencia, Ziyang Liu, Justin Cui
2025	J	`jnl`	Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability. CoRR Ning Li, Jingran Zhang, Justin Cui
2025	J	`jnl`	LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory Graph. CoRR Justin Cui, Kevin Pu, Tovi Grossman
2025	J	`jnl`	Latent Video Dataset Distillation. CoRR Ning Li, Antai Andy Liu, Jingran Zhang, Justin Cui
2025	J	`jnl`	Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments. CoRR Yifan Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner
2025	A*	`conf`	OR-Bench: An Over-Refusal Benchmark for Large Language Models. ICML Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh
2025	J	`jnl`	Self-Forcing++: Towards Minute-Scale High-Quality Video Generation. CoRR Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh
2025	J	`jnl`	Smart-GRPO: Smartly Sampling Noise for Efficient RL of Flow-Matching Models. CoRR Benjamin Yu, Jackie Liu, Justin Cui
2025	J	`jnl`	Video Text Preservation with Synthetic Text-Rich Videos. CoRR Ziyang Liu, Kevin Valencia, Justin Cui
2024	A*	`conf`	Ameliorate Spurious Correlations in Dataset Condensation. ICML Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh
2024	J	`jnl`	Ameliorate Spurious Correlations in Dataset Condensation. CoRR Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh
2024	J	`jnl`	OR-Bench: An Over-Refusal Benchmark for Large Language Models. CoRR Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh
2024	A*	`conf`	Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking. SIGIR Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner
2024	J	`jnl`	Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking. CoRR Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner
2023	A*	`conf`	Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. ICML Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
2022	A*	`conf`	DC-BENCH: Dataset Condensation Benchmark. NeurIPS Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
2022	J	`jnl`	DC-BENCH: Dataset Condensation Benchmark. CoRR Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
2022	J	`jnl`	Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. CoRR Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh